A5041651276- Sustainable Supply Chain Management
- Luminescence and Fluorescent Materials
- Advanced Polymer Synthesis and Characterization
- Quality Function Deployment in Product Design
- Product Development and Customization
- Covalent Organic Framework Applications
- Polymer composites and self-healing
- Smart Grid and Power Systems
- Neural Networks and Applications
- Polymer Surface Interaction Studies
- Advanced Graph Neural Networks
- Nanoparticle-Based Drug Delivery
- Stochastic Gradient Optimization Techniques
- Recommender Systems and Techniques
- Nanoplatforms for cancer theranostics
- Power Systems and Renewable Energy
- Energy Load and Power Forecasting
- Synthetic Organic Chemistry Methods
- Block Copolymer Self-Assembly
- Fault Detection and Control Systems
- Rough Sets and Fuzzy Logic
Tunku Abdul Rahman University of Management and Technology
2024
Yantai University
2024
Yantai Nanshan University
2022-2024
Xi'an Jiaotong University
2018-2020
Compared with traditional thermosets, malleable thermosets have more applications in aerospace, biotechnology, and construction. Here we report a one-step, solvent-free, catalyst-free polycondensation method between diamine formaldehyde to prepare series of hemiaminal dynamic covalent networks (HDCNs). The materials excellent malleability reprocessability by hot pressing. Young's modulus breaking strength HDCNs obtained the 4,4-diaminodiphenylmethane (MDA) are as high 1.6 GPa 60 MPa,...
Recommender system is one of the most effective tools to solve problem information overload. As a popular method for recommendation system, regularized singular value decomposition (RSVD) has advantage prediction accuracy. However, with growing size rating matrix A, RSVD suffers from both 'out memory' and high computational cost. To alleviate these disadvantages, we utilize CUR approach reduce memory consumption before applied. Additionally, A often sparse, so propose novel column sampling...
Abstract The fabrication of block copolymer (BCP) vesicles with controlled membrane permeability and promising stability remains a considerable challenge. Herein, new type pH‐responsive self‐crosslinked vesicle based on hydrolytically hindered urea bond is reported. This kind formed by the self‐assembly self‐crosslinkable poly(ethylene glycol)‐ ‐poly[2‐(3‐( tert ‐butyl)‐3‐ethylureido)ethyl methacrylate‐ co ‐2‐(diethylamino)ethyl methacrylate] (PEG‐ b ‐P(TBEU‐ ‐DEA)). BCP can be easily...
At present, product family design has become an important link in enterprise development and manufacturing. Optimization ideas technologies are foundations core frameworks design. Previous research on mainly been limited to optimization problems within the domain. As influencing factor process, supply chain not only affects cost level of back-end but also modular structure layout front-end process. Therefore, correlation between process is a crucial issue that determines success or failure...
Abstract Wind power forecasting plays a crucial role in the contemporary renewable energy system. During process of wind power, establishment LSTM models requires lot time and effort, interpretability prediction results is poor, making it difficult to understand verify results. To accomplish interpretable precise predictions, this paper introduces algorithm model leveraging CUR matrix decomposition. The decomposition method first obtains original A (wind data matrix). statistical influence...
Product family design has unique advantages in responding to the constantly segmented global economic market and personalized customer needs. However, existing research on product based requirements for module configuration rarely considers impact of supply chain intelligent manufacturing. To address above issues, this article develops a optimization process decision-making method advanced manufacturing CUR matrix decomposition. Firstly, customer's functional C relationship R matrix, perform...